In task-oriented dialog research, this goal has not been realized. End-to-end systems are just beginning, while the “astonishingly long-lived” idea [1]} of slots, fillers, pipelines, and hand-construction predominates. Naturally-occurring streams of task-oriented dialogs to feed such systems do exist, e.g., in customer-service call centers. Likewise, for the domain of specifying trip destinations, ride-sharing companies can set up human phone agents [2]}. However, legacy human-agent platforms often fail to capture information needed for training dialog systems.
